realme RMX3999 vs realme RMX3999
| realme RMX3999 | realme RMX3999 | Difference | |
|---|---|---|---|
| Single Precision | 515 | 515 | 100.0% |
| realme RMX3999 | |||
| realme RMX3999 | |||
| Half Precision | 507 | 507 | 100.0% |
| realme RMX3999 | |||
| realme RMX3999 | |||
| Quantized | 950 | 950 | 100.0% |
| realme RMX3999 | |||
| realme RMX3999 | |||
| Geekbench AI 1.1.0 | Geekbench AI 1.1.0 | ||
System Information
| realme RMX3999 | realme RMX3999 | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | CPU | CPU |
| AI Device | ARM ARMv8 | ARM ARMv8 |
| Operating System | Android 14 | Android 14 |
| Model | realme RMX3999 | realme RMX3999 |
| Processor |
ARM ARMv8 @ 2.00 GHz
1 Processor, 8 Cores |
ARM ARMv8 @ 2.00 GHz
1 Processor, 8 Cores |
| Processor ID | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Motherboard | k6835v1_64 | k6835v1_64 |
| Memory | 7.45 GB | 7.45 GB |
AI Performance
| realme RMX3999 | realme RMX3999 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 226 | 226 | 100.0% |
| realme RMX3999 | |||
| realme RMX3999 | |||
| Image Classification (HP) | 228 | 228 | 100.0% |
| realme RMX3999 | |||
| realme RMX3999 | |||
| Image Classification (Q) | 645 | 645 | 100.0% |
| realme RMX3999 | |||
| realme RMX3999 | |||
| Image Segmentation (SP) | 285 | 285 | 100.0% |
| realme RMX3999 | |||
| realme RMX3999 | |||
| Image Segmentation (HP) | 252 | 252 | 100.0% |
| realme RMX3999 | |||
| realme RMX3999 | |||
| Image Segmentation (Q) | 712 | 712 | 100.0% |
| realme RMX3999 | |||
| realme RMX3999 | |||
| Pose Estimation (SP) | 1119 | 1119 | 100.0% |
| realme RMX3999 | |||
| realme RMX3999 | |||
| Pose Estimation (HP) | 1128 | 1128 | 100.0% |
| realme RMX3999 | |||
| realme RMX3999 | |||
| Pose Estimation (Q) | 1629 | 1629 | 100.0% |
| realme RMX3999 | |||
| realme RMX3999 | |||
| Object Detection (SP) | 229 | 229 | 100.0% |
| realme RMX3999 | |||
| realme RMX3999 | |||
| Object Detection (HP) | 231 | 231 | 100.0% |
| realme RMX3999 | |||
| realme RMX3999 | |||
| Object Detection (Q) | 654 | 654 | 100.0% |
| realme RMX3999 | |||
| realme RMX3999 | |||
| Face Detection (SP) | 723 | 723 | 100.0% |
| realme RMX3999 | |||
| realme RMX3999 | |||
| Face Detection (HP) | 720 | 720 | 100.0% |
| realme RMX3999 | |||
| realme RMX3999 | |||
| Face Detection (Q) | 1478 | 1478 | 100.0% |
| realme RMX3999 | |||
| realme RMX3999 | |||
| Depth Estimation (SP) | 948 | 948 | 100.0% |
| realme RMX3999 | |||
| realme RMX3999 | |||
| Depth Estimation (HP) | 944 | 944 | 100.0% |
| realme RMX3999 | |||
| realme RMX3999 | |||
| Depth Estimation (Q) | 1509 | 1509 | 100.0% |
| realme RMX3999 | |||
| realme RMX3999 | |||
| Style Transfer (SP) | 1890 | 1890 | 100.0% |
| realme RMX3999 | |||
| realme RMX3999 | |||
| Style Transfer (HP) | 1887 | 1887 | 100.0% |
| realme RMX3999 | |||
| realme RMX3999 | |||
| Style Transfer (Q) | 3784 | 3784 | 100.0% |
| realme RMX3999 | |||
| realme RMX3999 | |||
| Image Super-Resolution (SP) | 473 | 473 | 100.0% |
| realme RMX3999 | |||
| realme RMX3999 | |||
| Image Super-Resolution (HP) | 477 | 477 | 100.0% |
| realme RMX3999 | |||
| realme RMX3999 | |||
| Image Super-Resolution (Q) | 921 | 921 | 100.0% |
| realme RMX3999 | |||
| realme RMX3999 | |||
| Text Classification (SP) | 273 | 273 | 100.0% |
| realme RMX3999 | |||
| realme RMX3999 | |||
| Text Classification (HP) | 259 | 259 | 100.0% |
| realme RMX3999 | |||
| realme RMX3999 | |||
| Text Classification (Q) | 467 | 467 | 100.0% |
| realme RMX3999 | |||
| realme RMX3999 | |||
| Machine Translation (SP) | 479 | 479 | 100.0% |
| realme RMX3999 | |||
| realme RMX3999 | |||
| Machine Translation (HP) | 476 | 476 | 100.0% |
| realme RMX3999 | |||
| realme RMX3999 | |||
| Machine Translation (Q) | 339 | 339 | 100.0% |
| realme RMX3999 | |||
| realme RMX3999 | |||
